Come and be a part of Amazon's amazing growth story! If you are looking for an opportunity to solve deep technical problems and build innovative solutions in a fast paced environment working with smart, passionate team members, this might be the role for you! Amazon Supply Chain Optimization Technology (SCOT) powers Amazon’s fulfillment network, determining how much of a given product is needed at locations around the world in order to ensure product availability while maintaining optimal inventory levels at each storage location. This includes strategically placing vendor orders and moving inventory across our network to serve customer demand as quickly as possible at reduced cost. (Learn more about SCOT: Inventory Placement team is seeking an innovative, entrepreneurial Principal Product Manager (Principal PM-T). This role will be responsible for driving product vision and strategy for key Placement team outcome metrics, and working cross-functionally at all levels to deliver high impact improvements and improve inventory placement for our customer .

You will collaborate closely with cross-functional teams including Operations, Business Intelligence, Data Science, Engineering, and Supply Chain to build and refine metrics that measure and enhance the performance of inventory placement strategies.

Key job responsibilities
-Own the Product Metrics: Define, develop, and own inventory placement metrics that guide product placement decisions across the supply chain and fulfillment network.

-Optimize Inventory Placement: Work closely with operations and supply chain teams to optimize how products are allocated across warehouses and distribution centers to improve speed, cost, and customer satisfaction.

-Data-Driven Decision Making: Analyze and interpret large sets of data to identify trends, inefficiencies, and areas for improvement in inventory placement. Drive actionable insights to improve performance.

-Cross-Functional Collaboration: Work closely with engineering, data science, and operations teams to implement tools and systems that improve the accuracy and efficiency of inventory placement.

-Define Success Metrics: Establish KPIs that measure the success of inventory placement strategies, including metrics like order fulfillment speed, stockouts, excess inventory, and customer satisfaction.

-Continuous Improvement: Drive the ongoing iteration of inventory placement strategies by testing and scaling new models, evaluating performance, and suggesting new methods of improvement.

-Stakeholder Communication: Present findings, insights, and recommendations to senior leadership and key stakeholders to ensure alignment on inventory placement goals and initiatives.

-Customer Focus: Ensure that inventory placement decisions support the overall customer experience by ensuring product availability and quick delivery.

About the team
Our Inventory Placement team owns the systems that decide where in Amazon's fulfillment network to put inventory for the millions of products that Amazon sells. We build optimization models to make these placement decisions driven by signals such as forecasted customer demand, the cost and speed of shipping from each warehouse to each customer, and the available capacity at various points in our network. Inventory placement is central to achieving Amazon's objectives to minimize the cost of fulfillment while offering selection to customers at the fastest possible delivery speeds. Our systems are built entirely in-house, and are on the cutting edge in automated large scale supply chain planning and optimization systems. We're simultaneously developing the science of supply chain planning and solving some of the toughest computational challenges at Amazon.

- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience technical product management
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
- Expertise in data analysis, business intelligence, and working with large datasets to derive actionable insights. Familiarity with tools such as SQL, Tableau, or Looker is a plus.
- Comfortable working with engineering teams and understanding technical concepts to build and refine product solutions.

- Experience working directly with Engineers on product enhancements
- Experience in project management methodologies, business analysis, or process improvement
- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Experience in building and driving adoption of new tools

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $161,900/year in our lowest geographic market up to $279,900/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.